Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10317)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): ICIAR: International Conference on Image Analysis and Recognition
Conference proceedings info: ICIAR 2017.
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Table of contents (73 papers)
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Front Matter
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Machine Learning in Image Recognition
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Front Matter
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Machine Learning for Medical Image Computing
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Front Matter
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Image Enhancement and Reconstruction
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Front Matter
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About this book
The 73 revised full papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for medical image computing; image enhancement and reconstruction; image segmentation; motion and tracking; 3D computer vision; feature extraction; detection and classification; biomedical image analysis; image analysis in ophthalmology; remote sensing; applications.
Editors and Affiliations
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University of Waterloo, Waterloo, Canada
Fakhri Karray
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University of Porto, Porto, Portugal
Aurélio Campilho
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Politechnique Montreal, Montreal, Canada
Farida Cheriet
Bibliographic Information
Book Title: Image Analysis and Recognition
Book Subtitle: 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5–7, 2017, Proceedings
Editors: Fakhri Karray, Aurélio Campilho, Farida Cheriet
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-59876-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2017
Softcover ISBN: 978-3-319-59875-8Published: 03 June 2017
eBook ISBN: 978-3-319-59876-5Published: 19 June 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 673
Number of Illustrations: 293 b/w illustrations
Topics: Image Processing and Computer Vision, Computers and Society, Artificial Intelligence, Data Mining and Knowledge Discovery, Systems and Data Security, Data Structures and Information Theory